000013238 001__ 13238
000013238 005__ 20161114160333.0
000013238 04107 $$aeng
000013238 046__ $$k2009-06-22
000013238 100__ $$aCataldo, E.
000013238 24500 $$aModelling the voice production process using a nonparametric approach

000013238 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013238 260__ $$bNational Technical University of Athens, 2009
000013238 506__ $$arestricted
000013238 520__ $$2eng$$aThe aim of this work is to discuss model uncertainties, in the case of the biomechanics of phonation. A number of mechanical models of voice production have been proposed in past years; but, in general, they have a deterministic nature. In previous works, data uncertainties were incorporated to a two-mass model of the vocal folds to perform a probabilistic analysis of the fundamental frequency of the oscillation. The present work is intended as a follow-up, to explore the effect of model uncertainties, using a non-parametric probabilistic approach based on the use of a probabilistic model for symmetric positive-definite real random matrices applying the Maximum Entropy Principle. The theory is discussed and numerical examples are presented to show that the predictability of the model may be improved when model uncertainties are taken into account. It is shown that some realizations of the output radiated pressure obtained are similar with samples of voice signals obtained from people with some pathologies, as nodulus and papilomas, in their vocal folds.

000013238 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013238 653__ $$aUncertainties, nonparametric probabilistic approach, voice production, modeling. Abstract. The aim of this work is to discuss model uncertainties, in the case of the biomechanics of phonation. A number of mechanical models of voice production have been proposed in past years; but, in general, they have a deterministic nature. In previous works, data uncertainties were incorporated to a two-mass model of the vocal folds to perform a probabilistic analysis of the fundamental frequency of the oscillation. The present work is intended as a follow-up, to explore the effect of model uncertainties, using a non-parametric probabilistic approach based on the use of a probabilistic model for symmetric positive-definite real random matrices applying the Maximum Entropy Principle. The theory is discussed and numerical examples are presented to show that the predictability of the model may be improved when model uncertainties are taken into account. It is shown that some realizations of the output radiated pressure obtained are similar with samples of voice signals obtained from people with some pathologies, as nodulus and papilomas, in their vocal folds.

000013238 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013238 720__ $$aCataldo, E.$$iSampaio, R.$$iSoize, C.$$iLucero, J.
000013238 8560_ $$ffischerc@itam.cas.cz
000013238 8564_ $$s353902$$uhttps://invenio.itam.cas.cz/record/13238/files/CD350.pdf$$yOriginal version of the author's contribution as presented on CD, section: Uncertainty and reliability in computational structural dynamics - i (MS).
000013238 962__ $$r13074
000013238 980__ $$aPAPER